What is the most accurate Windows OCR

This page summarizes the projects mentioned and recommended in the original post on /r/LearnJapanese

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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  1. manga-ocr

    Optical character recognition for Japanese text, with the main focus being Japanese manga

    MangaOCR on github is really good. There are two main gui of it that i know of. The first is a whole gui reader of it and is called poricom. The second lets you ocr anything on the screen when pressing alt+q and is called cloe. Here are the links : https://github.com/kha-white/manga-ocr https://github.com/blueaxis/Poricom https://github.com/blueaxis/Cloe

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. Poricom

    Optical character recognition in manga images. Manga OCR desktop application

    MangaOCR on github is really good. There are two main gui of it that i know of. The first is a whole gui reader of it and is called poricom. The second lets you ocr anything on the screen when pressing alt+q and is called cloe. Here are the links : https://github.com/kha-white/manga-ocr https://github.com/blueaxis/Poricom https://github.com/blueaxis/Cloe

  4. Cloe

    Manga OCR snipping application for desktop

    MangaOCR on github is really good. There are two main gui of it that i know of. The first is a whole gui reader of it and is called poricom. The second lets you ocr anything on the screen when pressing alt+q and is called cloe. Here are the links : https://github.com/kha-white/manga-ocr https://github.com/blueaxis/Poricom https://github.com/blueaxis/Cloe

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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